# Retrieval-Augmented Generation (RAG) Workflows

## Documentation for package ‘ragnar’ version 0.1.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

embed_bedrock | Embed text using a Bedrock model
embed_ollama | Embedd Text
embed_openai | Embedd Text
markdown_frame | Segment markdown text
markdown_segment | Segment markdown text
ragnar_chunk | Chunk text
ragnar_chunk_segments | Chunk text
ragnar_find_links | Find links on a page
ragnar_read | Read a document as Markdown
ragnar_read_document | Read an HTML document
ragnar_register_tool_retrieve | Register a 'retrieve' tool with ellmer
ragnar_retrieve | Retrieve chunks from a 'RagnarStore'
ragnar_retrieve_bm25 | Retrieves chunks using the BM25 score
ragnar_retrieve_vss | Uses vector similarity search
ragnar_retrieve_vss_and_bm25 | Retrieve VSS and BM25
ragnar_segment | Chunk text
ragnar_store_build_index | Build a Ragnar Store index
ragnar_store_connect | Connect to 'RagnarStore'
ragnar_store_create | Create and connect to a vector store
ragnar_store_insert | Insert chunks into a 'RagnarStore'
ragnar_store_inspect | Launches the Ragnar Inspector Tool
ragnar_store_update | Inserts or updates chunks in a 'RagnarStore'
read_as_markdown | Convert files to markdown